Recognized International Leader and Speaker on Race, Gender and Ethnic Diversity and Inclusion and Implicit Bias
The Sins of the Father: Excising Malignant Bias from Artificial Intelligence Mr. Graf asserts "This paper will explore the causes and discriminatory effects of algorithmic bias in AI and will propose a regulatory model to reduce and remedy the propagation of biased AI. First, Section I will examine the origins of the three types of algorithmic bias, as identified by the National Institute of Standards and Technology (NIST). Next, Section II will detail the two distinct manifestations of algorithmic bias and their respective consequences. Finally, Section III will propose a regulatory framework for how to protect vulnerable populations from algorithmic bias, mitigate adverse effects, and provide legal recourse for those affected."